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Geopandas Python Jobs in Colorado (NOW HIRING)

Geopandas Python information

What are the key skills and qualifications needed to thrive as a Geopandas Python Developer, and why are they important?

To thrive as a Geopandas Python Developer, you need a solid foundation in Python programming, geospatial data analysis, and GIS concepts, often backed by a degree in computer science or geography. Familiarity with Geopandas, Shapely, Fiona, and other geospatial libraries, as well as experience with spatial databases and data visualization tools, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver robust geospatial solutions and collaborate with team members. These skills are critical for accurately processing spatial data, generating valuable insights, and supporting data-driven decision-making in various industries.

What are some common challenges Geopandas Python developers face when working with large geospatial datasets?

Geopandas Python developers often encounter performance limitations when processing very large geospatial datasets, as Geopandas is built on top of Pandas and can be memory-intensive. Handling operations like spatial joins, dissolves, or aggregations on millions of features may lead to slowdowns or memory errors. To address these challenges, developers frequently use techniques such as chunking data, leveraging Dask for parallel computing, or integrating with more scalable libraries like PostGIS or PyGEOS. Collaborating closely with data engineers and GIS specialists can also help optimize workflows and ensure efficient data processing.

What is GeoPandas in Python?

GeoPandas is an open-source Python library that simplifies working with geospatial data. It extends the popular Pandas library to enable spatial operations on geometric types, such as points, lines, and polygons. With GeoPandas, users can easily read, write, and manipulate geographic data formats like Shapefile, GeoJSON, and others. It integrates well with other libraries, such as Matplotlib for visualization and Shapely for advanced geometric operations, making it a powerful tool for geographic data analysis in Python.

What is the difference between Geopandas Python vs GIS Analyst?

AspectGeopandas PythonGIS Analyst
Required CredentialsPython programming, GIS fundamentalsGIS certifications, degree in geography or related field
Work EnvironmentData analysis, scripting, codingMap creation, spatial data management, report generation
Industry UsageData science, software development, geospatial analysisUrban planning, environmental management, government agencies

Geopandas Python focuses on spatial data analysis using Python programming, ideal for data scientists and developers. GIS Analysts work with spatial data in various industries, often using GIS software and tools. While both roles involve geospatial data, Geopandas Python emphasizes coding and automation, whereas GIS Analysts focus on data management and visualization.

What are popular job titles related to Geopandas Python jobs in Colorado? For Geopandas Python jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Geopandas Python jobs in Colorado look for? The top searched job categories for Geopandas Python jobs in Colorado are:
Senior Geospatial Data Engineer

Senior Geospatial Data Engineer

CACI International, Inc.

Denver, CO • On-site

$189.60K/yr

Full-time

Medical, Retirement, PTO

Posted 21 days ago


Job description

Job Title: Senior Geospatial Data Engineer
Job Category: Engineering
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
Anticipated Posting End: 8/1/2026
The Opportunity:
CACI's AGIS Release Train delivers the geospatial data infrastructure and analytical capabilities that NGA analysts rely on every day to drive intelligence decisions. Our team operates at the intersection of cutting-edge open-source geospatial technology and mission-critical intelligence workflows - building the pipelines, visualization tools, and analytical environments that transform raw geospatial data into decision advantage.
As a Senior Geospatial Data Engineer, you will lead pipeline development, tool integration, and visualization capability delivery across a FOSS4G-centric stack. You will work directly with NGA mission users and AGIS delivery teams to shape how intelligence professionals interact with geospatial data - from ingest all the way to analyst-facing visualization.
Responsibilities:
Design and deliver end-to-end geospatial data pipelines from ingest through analyst-facing visualization, leveraging GDAL/OGR-based transformation and processing across diverse data formats
Develop and maintain Python-based analytical environments via Jupyter Notebooks tailored to NGA mission user workflows
Manage GeoParquet datasets within the program's data lake architecture; implement and extend columnar format pipelines for production use
Administer ArcGIS Server services and portal configurations; integrate with the FOSS4G toolchain including QGIS, GeoServer, and MapServer
Collaborate with the AGIS Search team on spatial data indexing and AI-assisted retrieval integration
Lead technical refinement sessions and provide PI Planning input on data engineering epics and cross-team dependencies
Qualifications:
Required:
Active TS/SCI clearance
8+ years of software or data engineering experience, with at least 5 years in geospatial domains
Proficiency in the Python geospatial stack: GDAL, Fiona, Shapely, GeoPandas, Rasterio
Strong Jupyter Notebook development experience for analytical and mission workflows
Working knowledge of the FOSS4G ecosystem (QGIS, GeoServer, MapServer, GRASS)
GeoParquet/columnar format experience in production environments
ArcGIS Server and ArcGIS Enterprise administration
B.S. in Geography, GIS, Computer Science, or related field (equivalent experience accepted)
Desired:
Familiarity with OGC service standards (WMS, WFS, WCS)
Experience operating within SAFe or Agile delivery frameworks
CI Poly clearance

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$90,300 - 189,600 USD
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.